<trans-title>Simulating Land Use Patterns of the Mid-Zhejiang Urban Agglomeration Considering the Effects of Urban Rail Transit</trans-title>

Jiafeng WANG; Rong WANG; Yongjiu FENG; Zhenkun LEI; Chen GAO; Shurui CHEN; Yanmin JIN; Shuting ZHAI

doi:10.12082/dqxxkx.2020.190305

Journal of Geo-information Science, Volume. 22, Issue 3, 605(2020)

Simulating Land Use Patterns of the Mid-Zhejiang Urban Agglomeration Considering the Effects of Urban Rail Transit

Jiafeng WANG1...1, Rong WANG2,2, Yongjiu FENG1,1,*, Zhenkun LEI2,2, Chen GAO2,2, Shurui CHEN2,2, Yanmin JIN1,1, and Shuting ZHAI22 |Show fewer author(s)

Author Affiliations

¹College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China

¹同济大学测绘与地理信息学院,上海 200092

²College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China

²上海海洋大学海洋科学学院,上海 201306

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Figures & Tables(11)

Fig. 1. Study area: location, administrative boundaries and planned urban rail transit sites

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Fig. 2. Land use patternsof the Mid-Zhejiang Urban Agglomeration derived from GlobeLand30 in 2000 and 2010

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Fig. 3. Spatially visualized driving factors of land use change from 2000 to 2010

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Fig. 4. Comparison of the actual and simulated land use patterns in 2010

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Fig. 5. Land use transition probabilities andtheir statistics under the two scenarios

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Fig. 6. The Land use patterns of theMid-Zhejiang urban agglomeration in 2030

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Fig. 7. 5-km based buffers centered at the rail transit sites

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Table 1. Land use transition matrix of the Mid-Zhejiang Urban Agglomeration from 2000 to 2010 (km²)

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Table 1. Land use transition matrix of the Mid-Zhejiang Urban Agglomeration from 2000 to 2010 (km²)

类型		2010年
类型		农田	林地	草地	水域	建设用地	总计
2000年	农田	3479.41	167.68	38.01	18.75	514.06	4217.91
	林地	135.87	5506.24	130.84	12.09	9.66	5794.70
	草地	61.53	118.18	296.80	1.34	5.73	483.59
	水域	17.64	8.55	0.76	129.02	3.59	159.57
	建设用地	25.27	1.23	0.64	0.99	262.05	290.19
	总计	3719.73	5801.88	467.06	162.20	795.09	10 945.96

Table 2. The spatial driving factors of land use change

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Table 2. The spatial driving factors of land use change

类别	变量	简称	分辨率/m	年份	意义	来源
地形	高程	DEM	30	2009	评估地形要素对土地利用的影响	www.gscloud.cn
地形	坡度	Slope	30	2009	评估地形要素对土地利用的影响	计算高程数据的坡度
社会经济	人口	POP	90	2015	评估社会经济要素对土地利用的影响	www.worldpop.org
社会经济	经济	GDP	900	2010	评估社会经济要素对土地利用的影响	www.ngdc.noaa.gov
区位	到市中心的距离	DisCity	30	2010	行政中心邻近度对土地利用的影响	ArcGIS计算对应矢量数据的欧氏距离。矢量数据来源：www.openstreetmap.org
区位	到区中心的距离	DisCounty	30		行政中心邻近度对土地利用的影响
交通	到主干道的距离	DisRoad	30		道路邻近度对土地利用的影响
交通	到轨道交通的距离	DisRail	30		道路邻近度对土地利用的影响

Table 3. Errormatrix and accuracyassessment of land use simulation in 2010 (km²)

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Table 3. Errormatrix and accuracyassessment of land use simulation in 2010 (km²)

类型		2010年真实
类型		农田	林地	草地	水域	建设用地	总计
2010年模拟	农田	329.41	18.08	11.75	1.74	10.24	371.22
	林地	14.05	550.91	13.61	1.21	0.93	580.71
	草地	14.79	10.73	21.01	0.12	0.30	46.95
	水域	2.00	0.90	0.10	12.90	0.39	16.29
	建设用地	11.28	0.25	0.25	0.30	67.35	79.43
	总计	371.53	580.87	46.72	16.27	79.21	1094.60
总体精度/%		89.74
Kappa /%		82.69
FOM/%		29.86

Table 4. Landscape metrics of the two predicted land use scenarios

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Table 4. Landscape metrics of the two predicted land use scenarios

景观指数	常规情景					轨交情景
景观指数	农田	林地	草地	水域	建设用地	农田	林地	草地	水域	建设用地
LPI	6.67	14.48	0.02	0.29	3.56	4.74	15.94	0.02	0.29	3.54
PAFRAC	1.44	1.47	1.55	1.47	1.37	1.55	1.54	1.62	1.47	1.37
DIVISION	0.99	0.95	1.00	1.00	1.00	1.00	0.94	1.00	1.00	1.00
IJI	84.85	64.52	48.42	80.24	41.18	80.59	61.37	51.45	81.58	42.81
PLADJ	89.89	94.25	52.05	77.63	93.25	87.55	93.05	45.00	77.82	93.66
AI	89.94	94.29	52.12	77.81	93.32	87.60	93.08	45.06	78.01	93.73
CLUMPY	0.86	0.88	0.50	0.77	0.92	0.83	0.85	0.43	0.78	0.93
COHESION	99.65	99.90	84.77	97.12	99.49	99.59	99.91	85.03	97.09	99.52

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Jiafeng WANG, Rong WANG, Yongjiu FENG, Zhenkun LEI, Chen GAO, Shurui CHEN, Yanmin JIN, Shuting ZHAI. Simulating Land Use Patterns of the Mid-Zhejiang Urban Agglomeration Considering the Effects of Urban Rail Transit[J]. Journal of Geo-information Science, 2020, 22(3): 605

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Paper Information

Received: Jun. 13, 2019

Accepted: --

Published Online: Sep. 16, 2020

The Author Email: FENG Yongjiu (yjfeng@tongji.edu.cn)

DOI:10.12082/dqxxkx.2020.190305

Topics

Resource Economy

Research Articles

Table 1. Land use transition matrix of the Mid-Zhejiang Urban Agglomeration from 2000 to 2010 (km2)

Table 1. Land use transition matrix of the Mid-Zhejiang Urban Agglomeration from 2000 to 2010 (km2)

Table 2. The spatial driving factors of land use change

Table 2. The spatial driving factors of land use change

Table 3. Errormatrix and accuracyassessment of land use simulation in 2010 (km2)

Table 3. Errormatrix and accuracyassessment of land use simulation in 2010 (km2)

Table 4. Landscape metrics of the two predicted land use scenarios

Table 4. Landscape metrics of the two predicted land use scenarios

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Table 1. Land use transition matrix of the Mid-Zhejiang Urban Agglomeration from 2000 to 2010 (km²)

Table 1. Land use transition matrix of the Mid-Zhejiang Urban Agglomeration from 2000 to 2010 (km²)

Table 3. Errormatrix and accuracyassessment of land use simulation in 2010 (km²)

Table 3. Errormatrix and accuracyassessment of land use simulation in 2010 (km²)